High‐quality FLORET UTE imaging for clinical translation
Article Swipe
Matthew M. Willmering
,
Guruprasad Krishnamoorthy
,
Ryan K. Robison
,
Jens T. Rosenberg
,
Jason C. Woods
,
James G. Pipe
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/mrm.30277
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/mrm.30277
Purpose To develop a robust 3D ultrashort‐TE (UTE) protocol that can reproducibly provide high‐quality images, assessed by the ability to yield clinically diagnostic images, and is suitable for clinical translation. Theory and Methods Building on previous work, a UTE sampled with Fermat looped orthogonally encoded trajectories (FLORET) was chosen as a starting point due to its shorter, clinically reasonable scan times. Modifications to previous FLORET implementations included gradient waveform frequency limitations, a new trajectory ordering scheme, a balanced SSFP implementation, fast gradient spoiling, and full inline reconstruction. FLORET images were collected in phantoms and humans on multiple scanners and sites to demonstrate these improvements. Results The updates to FLORET provided high‐quality images in phantom, musculoskeletal, and pulmonary applications. The gradient waveform modifications and new trajectory ordering scheme significantly reduced visible artifacts. Fast spoiling reduced acquisition time by 20%–28%. Across the various scanners and sites, the inline image quality was consistent and of diagnostic quality. Total image acquisition plus reconstruction time was less than 4 min for musculoskeletal and pulmonary applications with reconstructions taking less than 1 min. Conclusion Recently developed improvements for the FLORET sequence have enabled robust, high‐quality UTE acquisitions with short acquisition and reconstruction times. This enables clinical UTE imaging as demonstrated by the implementation of the sequence and acquisition on five MRI scanners, at three different sites, without the need for any additional system characterization or measurements.
Related Topics
Concepts
Image quality
Imaging phantom
Computer science
Translation (biology)
Computer vision
Artificial intelligence
Trajectory
Quality (philosophy)
Iterative reconstruction
Nuclear medicine
Medical physics
Image (mathematics)
Medicine
Physics
Quantum mechanics
Chemistry
Biochemistry
Gene
Messenger RNA
Astronomy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/mrm.30277
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.30277
- OA Status
- bronze
- Cited By
- 2
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402145088
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4402145088Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/mrm.30277Digital Object Identifier
- Title
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High‐quality
FLORET UTE imaging for clinical translationWork title - Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-09-01Full publication date if available
- Authors
-
Matthew M. Willmering, Guruprasad Krishnamoorthy, Ryan K. Robison, Jens T. Rosenberg, Jason C. Woods, James G. PipeList of authors in order
- Landing page
-
https://doi.org/10.1002/mrm.30277Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.30277Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.30277Direct OA link when available
- Concepts
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Image quality, Imaging phantom, Computer science, Translation (biology), Computer vision, Artificial intelligence, Trajectory, Quality (philosophy), Iterative reconstruction, Nuclear medicine, Medical physics, Image (mathematics), Medicine, Physics, Quantum mechanics, Chemistry, Biochemistry, Gene, Messenger RNA, AstronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
- References (count)
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23Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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